Trace of Objects to Retrieve Prediction Patterns of Activities in Smart Homes

被引：0

作者：

Amirjavid, Farzad ^{[1
]}

Bouzouane, Abdenour ^{[1
]}

Bouchard, Bruno ^{[1
]}

机构：

[1] Univ Quebec Chicoutimi UQAC, Dept Comp Sci, Chicoutimi, PQ, Canada

来源：

CONCEPTUAL STRUCTURES FOR DISCOVERING KNOWLEDGE | 2011年 / 6828卷

关键词：

activity recognition; pattern learning; data mining; objects; concepts;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An elderly person can forget sometimes to complete the activities that he begins. By the tracing of objects that he may apply in realization of activities in a smart home, it would be possible to predict his intention about what activity he considers to realize. In this way, we would be able to provide hypotheses about the Smart Home resident's goals and his possible goal achievement's defects. To achieve that, spatiotemporal aspects of daily activities are surveyed to mine the patterns of activities realized by the smart homes residents. Based on the inferred daily activities realization patterns we are able to make prediction patterns that can predict uncompleted activities.

引用

页码：353 / 356

页数：4